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Kato Z, Zerubia J. Markov random fields in image segmentation. Hanover, NH: Now Publishers; 2012.\par \par Benedek C, Sziranyi T, Kato Z, Zerubia J. Detection of Object Motion Regions in Aerial Image Pairs with a Multilayer Markovian Model. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2009;18(10):2303-2315.\par \par Horvath P, Jermyn I, Kato Z, Zerubia J. A higher-order active contour model of a 'gas of circles' and its application to tree crown extraction. PATTERN RECOGNITION. 2009;42(5):699-709.\par \par K\'f6r alak\'fa objektumok szegment\'e1l\'e1sa magasabb rend? akt\'edv kont\'far modellek seg\'edts\'e9g\'e9vel. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2007. Debrecen: K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1ga; 2007. 1. p. 133-140p. \par \par Benedek C, Sziranyi T, Kato Z, Zerubia J. A Three-layer MRF model for Object Motion Detection in Airborne Images.; 2007.\par \par A higher-order active contour model for tree detection. In: Proceedings of the18th International Conference on Pattern Recognition, ICPR 2006. IEEE; 2006. 1. p. 130-133p. \par \par A Higher-Order Active Contour Model of a `Gas of Circles' and its Application to Tree Crown Extraction.; 2006.\par \par An Improved `Gas of Circles' Higher-Order Active Contour Model and its Application to Tree Crown Extraction. In: Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP). Berlin; Heidelberg; New York: Springer Verlag; 2006. 1. p. 152-161p. \par \par A multi-layer MRF model for object-motion detection in unregistered airborne image-pairs. In: Proceedings - 14th International Conference on Image Processing, ICIP 2007. Piscataway: IEEE; 2006. V. VI-p. 141-p.  VI-144.\par \par Shape Moments for Region Based Active Contours. In: Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (K\'c9PAF), 29th workshop of the Austrian Association for Pattern Reco. Vienna: OCG; 2005. 1. p. 187-194p. \par \par Markov random fields in image processing application to remote sensing and astrophysics. JOURNAL DE PHYSIQUE IV. 2002;12(1):117-136.\par \par Image segmentation using Markov random field model in fully parallel cellular network architectures. REAL-TIME IMAGING. 2000;6(3):195-211.\par \par Unsupervised parallel image classification using Markovian models. PATTERN RECOGNITION. 1999;32(4):591-604.\par \par Image segmentation using Markov random field model in fully parallel cellular network architectures..; 1997.\par \par Markov Random Field Image Segmentation using Cellular Neural Network.; 1997.\par \par MRF based image segmentation with fully parallel cellular nonlinear networks. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 1997. Keszthely: Pannon Agr\'e1rtudom\'e1nyi Egyetem Georgikon Mez?gazdas\'e1gtudom\'e1nyi Kar; 1997. 4. p. 43-50p. \par \par Bayesian image classification using Markov random fields. IMAGE AND VISION COMPUTING. 1996;14(4):285-295.\par \par Cellular Neural Network in Markov Random Field Image Segmentation. In: 1996 FOURTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, PROCEEDINGS (CNNA-96). New York: Wiley - IEEE Press; 1996. 1. p. 139-144p. \par \par A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification. GRAPHICAL MODELS AND IMAGE PROCESSING. 1996;58(1):18-37.\par \par DPA: a deterministic approach to the MAP problem. IEEE TRANSACTIONS ON IMAGE PROCESSING. 1995;4(9):1312-1314.\par \par Unsupervised adaptive image segmentation. In: ICASSP-95. Piscataway: IEEE; 1995. 2. p. 2399-2402p. \par \par Unsupervised parallel image classification using a hierarchical Markovian model. In: Proceedings of the 5th International Conference on Computer Vision. Piscataway: IEEE; 1995. 1. p. 169-174p. \par \par Multi-Temperature Annealing: A New Approach for the Energy-Minimization of Hierarchical Markov Random Field Models. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition. Los Alamitos: IEEE; 1994. 5. p. 520-522p. \par \par Segmentation hi\'e9rarchique d'images sur CM200 (Hierarchical Image Segmentation on the CM200).; 1994.\par \par Segmentation multir\'e9solution d'images sur SUN version 1 du 26.05.1994 (Multiresolution Image Segmentation on SUN version 1 of 26.05.1994).; 1994.\par \par Bayesian Image Classification Using Markov Random Fields. In: Maximum Entropy and Bayesian Methods. Dordrecht; Boston; London: Kluwer Academic Publishers; 1993. 3. p. 375-382p. \par \par Extraction d'information dans les images SPOT.; 1993.\par \par A Hierarchical Markov Random Field Model and Multi-Temperature Annealing for Parallel Image Classification.; 1993.\par \par A Hierarchical Markov Random Field Model for Image Classification. In: International Workshop on Image and Multidimensional Digital Signal Processing (IMDSP). IEEE Computer Soc. Pr.; 1993. \par \par Multiscale Markov random field models for parallel image classification. In: Fourth International Conference on Computer Vision, ICCV 1993, Berlin, Germany, 11-14 May, 1993, Proceedings. Los Alamitos: IEEE; 1993. 2. p. 253-257p. \par \par Parallel image classification using multiscale Markov random fields. In: ICASSP-93. New York: IEEE; 1993. 1. p. 137-140p. \par \par Image Classification Using Markov Random Fields with Two New Relaxation Methods.; 1992.\par \par Satellite Image Classification Using a Modified Metropolis Dynamics. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Computer Soc. Pr.; 1992. 5. p. 573-576p. \par \par }